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Try out integration with Tensor Computations #9

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saulshanabrook opened this issue Apr 4, 2018 · 1 comment

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saulshanabrook commented Apr 4, 2018 •

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The Tensor Computations library provides a succinct and efficient way of writing computations on arrays. It also agnostic to the memory backend. I think we should be able to provide an xnd wrapper, so that memory is allocated in xnd, but can be computed with TC. See https://facebookresearch.github.io/TensorComprehensions/integrating_any_ml_framework.html

We have to be able to attach some metadata to xnd tensors to be able to wrap them in the dlpack format: https://github.com/dmlc/dlpack

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saulshanabrook commented May 9, 2018

Possibly relevant issue around nesting function computation facebookresearch/TensorComprehensions#56

saulshanabrook added this to Integrations in PyCon Sprints

saulshanabrook added the enhancement label

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